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How to create an custom Reinforcement Learning Environment + DDPG agent from ROS environment

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chen chefer
chen chefer on 9 Feb 2021
Commented: Asvin Kumar on 12 Feb 2021
I´m working on an Agent for a control problem with wam-v (wam-v is a catamaran boat with sensors and cotroller that allow me to make it autonomous). I already wrote a code to control the wam-v in ROS GAZEBO environment which simulate all the forces, waves and mass for the wam-v. Currently, I want to use the matlab RL toolbox to build a DDPG agent to create the autonomy. How can I use the functions that I already wrote as input and output to build a custom matlab environment to train the agent?

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